K
Kit Hung Cheng
Researcher at University of Hong Kong
Publications - 2
Citations - 156
Kit Hung Cheng is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Set (abstract data type) & Aggregate function. The author has an hindex of 2, co-authored 2 publications receiving 148 citations.
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Journal ArticleDOI
Efficient top-k aggregation of ranked inputs
TL;DR: A new algorithm is proposed, designed to minimize the number of object accesses, the computational cost, and the memory requirements of top-k search with monotone aggregate functions, and is shown to be orders of magnitude faster.
Proceedings ArticleDOI
Efficient Aggregation of Ranked Inputs
TL;DR: A new algorithm is proposed, designed to minimize the number of object accesses, the computational cost, and the memory requirements of top-k search, which accesses fewer objects, while being orders of magnitude faster.